Title :
Vowel articulation training aid for the deaf
Author :
Zahorian, Stephen ; Venkat, Subhashri
Author_Institution :
Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA, USA
Abstract :
The signal processing strategy for a computer-based vowel articulation training aid for the deaf is described. This processing is based on a nonlinear/linear artificial neural network transformation of 16-channel filter bank data to a two-dimensional space which approximates an F1/F2 space. Speaker-independent vowel training displays have been developed with vowel identity cued by spatial location and color. Testing with both normally-hearing and hearing-impared listeners indicates that the display is very easy to interpret and that the relationship between the pattern and the spoken vowel is consistent. The continuous relationship between phonetic perception and display patterns provides feedback for fine tuning of vocal tract settings
Keywords :
acoustic signal processing; computerised signal processing; handicapped aids; neural nets; speech recognition; acoustic-phonetic transformation; computer-based vowel articulation training aid; deaf; hearing-impared listeners; nonlinear/linear artificial neural network; phonetic perception; real-time visual speech display; signal processing; speaker-independent speech recognition; Artificial neural networks; Auditory system; Computer displays; Data mining; Deafness; Feedback; Filter bank; Frequency; Medical treatment; Signal processing; Speech; Testing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.116139
